Sparse matrix factorization for brain computer interfaces

We present a novel sparse dimensionality reduction approach to reconstruct biological signals for brain computer interfaces (BCI). The proposed technique may be used in the design of an adaptive Brain Computer Interface which uses interaction error potentials.